AI & Machine Learning
diffusion.love
An MCP server that provides tools to search and read a pinned knowledge snapshot, retrieve project update feeds, and find tooling evidence for base models.
ENDPOINT 1
https://diffusion.love/mcp
MCP server metadata
- Name
- diffusion-love-knowledge
- Version
- 0.1.0
Known tools 4
read_knowledgeRead an exact indexed Markdown page or section from the pinned knowledge snapshot, including available anchors.
Inferred read-onlyproject_updatesRead dated feed events for one project family from the pinned news snapshot.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.diffusion-love-knowledge]
url = "https://diffusion.love/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"diffusion-love-knowledge": {
"type": "http",
"url": "https://diffusion.love/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: diffusion-love-knowledge
Remote MCP URL: https://diffusion.love/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"diffusion-love-knowledge": {
"url": "https://diffusion.love/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"diffusion-love-knowledge": {
"type": "http",
"url": "https://diffusion.love/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "diffusion-love-knowledge",
"transport": "streamable-http",
"url": "https://diffusion.love/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for diffusion.love was fetched 2026-10-18T02:46:52.622Z.
diffusion.love is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.